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This job advert was originally written in Spanish.
Mastery of semantic standards: OWL, RDF, RDFS, SPARQL, SHACL (at least one of them)
Experience with graph databases: Neo4j (Cypher), Amazon Neptune (Gremlin / SPARQL), Azure Cosmos DB (at least one of them)
Knowledge of RAG (Retrieval-Augmented Generation) architectures and their integration with LLMs
Experience with agent orchestration frameworks: LangGraph, LangChain, or similar (at least one of them)
Ability to extract and transform knowledge from unstructured sources (NLP, document parsing, integration with tools such as IDMC or MicroStrategy)
Familiarity with cloud platforms: preferably AWS (Bedrock, Neptune, Athena, S3) or Azure (OpenAI Service, Cosmos DB)
Minimum experience: 6–8 years in Data Engineering, Data Architecture, or AI roles, with at least 2–3 years of specialization in Knowledge Graphs or applied ontologies.
From Grupo NS, we are looking for an expert Knowledge Engineer.
The profile will work on projects designing and building the structured knowledge layers that support conversational AI systems, autonomous agents, and enterprise semantic platforms.
The role combines rigor in knowledge modeling with a data architecture vision and the ability to integrate with generative AI systems. This is not a purely theoretical profile: end-to-end delivery capability is expected, from business domain analysis to implementation and validation in production.
Main responsibilities
Design ontologies, taxonomies, and Knowledge Graphs that represent complex business domains (energy, operations, regulation)
Implement and maintain knowledge graphs using technologies such as Amazon Neptune, Neo4j, or Azure Cosmos DB
Develop knowledge extraction and structuring pipelines from heterogeneous sources (documents, ERP/SAP systems, APIs, relational databases)
Integrate semantic layers with RAG architectures and multi-agent systems based on LLMs (LangGraph, MCP, Bedrock)
Collaborate with Data Architecture, Data Engineering, and AI Engineering teams to ensure coherence between the operational data model and the knowledge model
Participate in the definition of the validation Golden Set and in the design of knowledge quality KPIs (hallucination rate, coverage, resolution rate)
Contribute to the standardization of methodologies and reusable assets within the capability
Grupo NS is a Spanish IT services and consulting company founded in Madrid in 2003, offering outsourcing, technology consulting, custom project development, and tailored training programs. Its service lines span cloud, cybersecurity, data, AI, Salesforce, databases, infrastructure, networks, QA and systems, and it states that it collaborates with 12 of the 15 large international IT solutions integrators. The company has grown past €5M in revenue and counts more than 150 people on its team.
For professionals in Spain, Grupo NS is strongly remote-friendly: 98% of its workforce teleworks and the company lets employees choose the work model where they are most productive. It offers free training from day one, flexible compensation, and holds ISO 9001 and ISO 27001 quality and security certifications. Hiring is active across Madrid and Barcelona (its two offices, with Barcelona opened in 2005 as NSCAT) as well as other Spanish locations such as Alicante, Granada, Sevilla, Almería and Tres Cantos, and the company says its international projects help it attract ambitious talent.
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